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Data Taxonomy Jobs in Federal Way, WA (NOW HIRING)

Taxonomist, Content Design

Seattle, WA · On-site

$120K - $171K/yr

... taxonomy structures translate effectively across languages and cultural contexts • Use data analysis and user research insights to validate and iterate on classification systems, ensuring they ...

Partner with internationalization and localization teams to ensure taxonomy structures translate effectively across languages and cultural contexts * Use data analysis and user research insights to ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access. * Provide retrieval-ready context (RAG pipelines, vector stores, knowledge ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access. * Provide retrieval-ready context (RAG pipelines, vector stores, knowledge ...

... taxonomy and ontology models to optimize product discovery for Amazon web and mobile experiences. You collaborate with business partners, data science and engineering teams to deliver knowledge-based ...

... taxonomy and ontology models to optimize product discovery for Amazon web and mobile experiences. You collaborate with business partners, data science and engineering teams to deliver knowledge-based ...

Hands-on with paid-channel data (Google Ads, Meta/Facebook Ads), including UTM taxonomy design, campaign structure, and ad-platform reporting, and ingesting it into a warehouse (e.g., Fivetran/Stitch)

... taxonomy and ontology models to optimize product discovery for Amazon web and mobile experiences. You collaborate with business partners, data science and engineering teams to deliver knowledge-based ...

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Data Taxonomy information

What are some typical challenges faced when developing and maintaining a data taxonomy within an organization?

One common challenge when working in data taxonomy is ensuring consistency across different departments that may use varied terminology or classification standards. Data taxonomists often need to facilitate collaboration between stakeholders to agree on definitions and structures, which requires strong communication and negotiation skills. Another challenge is keeping the taxonomy up-to-date as business needs and data sources evolve, necessitating regular reviews and updates. Successfully navigating these issues helps improve data discoverability, governance, and overall business intelligence.

What are the key skills and qualifications needed to thrive as a data taxonomist, and why are they important?

To thrive as a Data Taxonomist, you need a strong background in information science, data organization, and metadata management, often supported by a degree in library science, information systems, or a related field. Familiarity with taxonomy management tools, data modeling software, and standards such as SKOS or RDF is commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating across teams and ensuring data consistency. These skills and qualifications are crucial for creating structured data frameworks that improve data discoverability, usability, and governance.

What is the difference between Data Taxonomy vs Data Analyst?

AspectData TaxonomyData Analyst
Primary FocusOrganizing and classifying data structuresAnalyzing data to extract insights
Skills & CertificationsData modeling, taxonomy development, data management certificationsStatistical analysis, SQL, data visualization skills
Work EnvironmentData management teams, data governance departmentsBusiness units, analytics teams
Industry UsageData governance, information architectureBusiness intelligence, reporting

Data Taxonomy involves creating structured classifications for data assets, ensuring consistency and clarity across systems. Data Analysts focus on interpreting data to support decision-making. While both roles work with data, Data Taxonomy emphasizes data organization, whereas Data Analysts analyze data for insights.

How to become a data taxonomist?

To become a data taxonomist, develop skills in data management, classification, and metadata standards, often through a degree in information science, computer science, or related fields. Gaining experience with data modeling tools, taxonomy development, and understanding domain-specific knowledge is essential, along with familiarity with data governance and relevant software such as Protégé or Excel.

What does a data taxonomy specialist do?

A data taxonomy specialist develops and maintains structured classifications of data within an organization to improve data organization, searchability, and governance. They analyze data assets, create standardized naming conventions, and often use tools like metadata management systems to ensure consistent data categorization across systems.

What skills are needed for data taxonomy?

Data taxonomy professionals need strong analytical skills to categorize and organize data effectively, along with knowledge of data management principles and metadata standards. Familiarity with data modeling tools, taxonomy development, and understanding of business context are also important. Proficiency in tools like Excel, SQL, or specialized taxonomy software can enhance performance.

What job categories do people searching Data Taxonomy jobs in Federal Way, WA look for?

The top searched job categories for Data Taxonomy jobs in Federal Way, WA are:

What cities near Federal Way, WA are hiring for Data Taxonomy jobs?

Cities near Federal Way, WA with the most Data Taxonomy job openings:

Infographic showing various Data Taxonomy job openings in Federal Way, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Taxonomist, Content Design

Meta

Seattle, WA • On-site

$120K - $171K/yr

Full-time

Posted 29 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies


Job description

Meta is seeking a taxonomist to design and maintain the classification systems, semantic frameworks, and information architectures that power intuitive product experiences across Meta's family of apps and platforms. In this role, you will apply deep expertise in taxonomy development, ontology design, and controlled vocabularies to bring structure and clarity to complex content ecosystems at scale. You will partner closely with content designers, product managers, engineers, and data scientists to ensure that how Meta organizes, labels, and surfaces information is consistent, scalable, and user-centered - from social experiences to AI-powered products and beyond.
Responsibilities
Design, build, and maintain taxonomies, ontologies, and controlled vocabularies that support content organization and navigation across Meta products and platforms
• Conduct audits of existing classification systems and information architectures to identify gaps, inconsistencies, and opportunities for consolidation or improvement
• Develop and document taxonomy governance standards, naming conventions, and metadata schemas to ensure consistency and scalability across product surfaces
• Collaborate with content designers, product managers, engineers, and researchers to integrate taxonomy frameworks into product flows, search systems, and content recommendation experiences
• Apply systems thinking to evaluate how classification decisions affect downstream product experiences, including discoverability, personalization, and localization
• Partner with internationalization and localization teams to ensure taxonomy structures translate effectively across languages and cultural contexts
• Use data analysis and user research insights to validate and iterate on classification systems, ensuring they reflect how people actually think about and seek information
• Contribute to team-level goals by identifying and leading taxonomy projects that span multiple product areas or cross-functional teams
• Communicate taxonomy decisions and tradeoffs clearly to technical and non-technical stakeholders through documentation, presentations, and design reviews
Minimum Qualifications
• 5+ years of experience in taxonomy development, information architecture, ontology design, or a closely related content design discipline
• Bachelor's degree in Linguistics, English, Liberal Arts, Information Sciences or other related field
• Experience designing and maintaining controlled vocabularies, metadata schemas, or classification systems for large-scale digital products or content platforms
• Experience applying systems thinking to identify gaps in content organization and delivering scalable structural solutions across multiple product surfaces
• Experience collaborating with cross-functional partners including engineering, product management, and research to integrate information architecture into product development
• Experience communicating complex structural and classification decisions in writing to both technical and non-technical audiences
Preferred Qualifications
• Experience establishing taxonomy governance processes and driving adoption of classification standards across large organizations
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with semantic web technologies, knowledge graphs, or ontology languages such as OWL or SKOS
• Demonstrated ability to integrate AI tools into taxonomy and content design workflows to improve efficiency, consistency, or coverage at scale
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Familiarity with search systems, content recommendation engines, or AI-powered content surfaces and how taxonomy structures influence their performance
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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